Software & Platform Engineering Lead

London Stock Exchange • Python • SQL • ETL/ELT • 18 days ago
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Salary
≈ $99k – $171k per year (Estimated)
Location
In office (London)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 20, 2026. London Stock Exchange scores A on the Alion truth index.

Overview
Company
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London Stock Exchange

Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.
londonstockexchange.com • HQ: London, United Kingdom • Financial Services • Financial Data & Market Intelligence • Stock Exchanges & Market Infrastructure • 1001-5000 employees
Tech stack of London Stock Exchange

Join our team as a Software & Platform Engineering Lead, where you will provide technical leadership, guide and mentor the engineering team, and make key technical decisions. You will lead product development, design and build solutions on public cloud platforms, and collaborate with cross-functional teams. Additionally, you will lead AI integration, develop and implement testing procedures, and resolve technical issues. This is a hands-on role that requires deep technical expertise in Cloud Data Engineering, Analytics, and ML.

Missions

  • Assurer le leadership technique de l'équipe d'ingénierie, en prenant des décisions techniques clés et en fournissant des conseils techniques détaillés.
  • Diriger l'évaluation technologique pour de nouveaux produits ou fonctionnalités, en influençant les décisions de conception pour gérer les risques.
  • Concevoir et construire des solutions sur des plateformes cloud publiques comme AWS ou Azure, en tirant parti des services pour le calcul, le stockage et le réseau.

Profil recherché

- Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt

- Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks

- Experience leading and mentoring engineering teams, particularly distributed or remote teams

- Architect, designing and implementing robust and scalable CI/CD pipelines across diverse cloud (AWS, Azure) environments

- Strong communication skills for partner engagement and cross-functional collaboration

- Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces)

- Familiarity with data governance, data quality frameworks, and access controls

- Proven experience designing and implementing enterprise data warehouse solutions

- Strong proficiency in programming languages like Python

- 10+ years in data engineering, data warehousing, analytics or similar roles

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